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| Section | Objectives |
|---|---|
| Design and implement data distribution | - Replication and consistency
|
| Optimize and maintain Cosmos DB solutions | - Performance optimization
|
| Integrate Azure Cosmos DB with Azure services | - Data pipelines and analytics
|
| Design and implement data models for Azure Cosmos DB | - Model data for NoSQL workloads
|
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NEW QUESTION # 60
Hotspot Question
You have an Azure Cosmos DB for NoSQL account.
You plan to create a container named container1. The container1 container will store items that include two properties named name and age.
The most commonly executed queries will query container1 for a specific name. The following is a sample of the query.
You need to define an opt-in indexing policy for container1. The solution must meet the following requirements:
- Minimize the number of request units consumed by the queries.
- Ensure that the _etag property is excluded from indexing.
How should you define the indexing policy? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 61
You have an Azure Cosmos DB database that contains a container named container1. The container1 container is configured with a maximum of 20,000 RU/s and currently contains 240 GB of data.
You need to estimate the costs of container1 based on the current usage.
How many RU/s will be charged?
Answer: B
NEW QUESTION # 62
You have an Azure Cosmos DB for NoSQL container named Contacts that is configured as shown in the following exhibit.
Contacts contains the items shown in the following table.
To Contacts, you plan to insert the items shown in the following table.
For each of the following statements select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 63
You have a multi-region Azure Cosmos DB account named account1 that has a default consistency level of strong.
You have an app named App1 that is configured to request a consistency level of session.
How will the read and write operations of App1 be handled? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1 = Write and replicate data to every region synchronously
This is because the write concern is mapped to the default consistency level configured on your Azure Cosmos DB account2, which is strong in this case. Strong consistency ensures that every write operation is synchronously committed to every region associated with your Azure Cosmos DB account1. The request level consistency level of session only applies to the read operations of App11.
Box 2: That has the lowest estimated latency to the client
This is because the read operations of App1 will use the session consistency level that is specified in the request options. Session consistency is a client-centric consistency model that guarantees monotonic reads, monotonic writes, and read-your-own-writes within a session. A session is scoped to a client connection or a stored procedure execution. Session consistency allows clients to read from any region that has the lowest latency to the client.
NEW QUESTION # 64
You plan to deploy an Azure Cosmos DB for NoSQL account that will contain orders and the order lines of each order.
You need to recommend an account design that will maximize performance and minimize the cost of reading a single order and its order lines.
What should you recommend?
Answer: C
Explanation:
To optimize for high performance and low cost when reading a single order and its order lines together, you should embed the order lines as an array within the order document.
Single Request: You fetch the order and all lines in one ReadItemAsync point read.
Lowest Latency: Point reads are the fastest operation in Cosmos DB.Lowest Cost: Reading a single document costs exactly 1 Request Unit (RU) for data under 1 KB.
No Joins: Cosmos DB does not support cross-document joins efficiently without burning RUs on queries.
Atomic Updates: You can update the order and its lines together safely in one operation.
How to Structure the Datajson{
"id": "order_1001",
"partitionKey": "customer_9942",
"orderDate": "2026-06-03T17:27:00Z",
"status": "Shipped",
"orderLines": [
{ "lineId": 1, "productId": "prod_abc", "quantity": 2, "price": 15.99 },
{ "lineId": 2, "productId": "prod_xyz", "quantity": 1, "price": 45.00 }
]
}
Reference:
https://devblogs.microsoft.com/cosmosdb/read-data-spring-azure-cosmos-db-v3/
NEW QUESTION # 65
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